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"An important and timely work by two of the leading experts in high-frequency data. Ait-Sahalia and Jacod take readers to the very forefront of this rapidly evolving area. They cover both the practical side of financial data and the mathematical theory of stochastic processes, and show how to connect the two. High-Frequency Financial Econometrics is a must-read for academics and practitioners alike."--Per Mykland, University of Chicago "This comprehensive and accessible book provides a valuable introduction to the recently developed tools for modeling and inference based on very high-frequency…mehr

Produktbeschreibung
"An important and timely work by two of the leading experts in high-frequency data. Ait-Sahalia and Jacod take readers to the very forefront of this rapidly evolving area. They cover both the practical side of financial data and the mathematical theory of stochastic processes, and show how to connect the two. High-Frequency Financial Econometrics is a must-read for academics and practitioners alike."--Per Mykland, University of Chicago "This comprehensive and accessible book provides a valuable introduction to the recently developed tools for modeling and inference based on very high-frequency financial data. A wonderful achievement, High-Frequency Financial Econometrics is destined to become a classic."--Torben G. Andersen, Northwestern University "This book is simply breathtaking. High-Frequency Financial Econometrics is a serious scholarly contribution that, wonderfully, will also be of great interest to practitioners."--Francis X. Diebold, coauthor of Yield Curve Modeling and Forecasting: The Dynamic Nelson-Siegel Approach
Autorenporträt
Yacine Aït-Sahalia is the Otto A. Hack 1903 Professor of Finance and Economics and director of the Bendheim Center for Finance at Princeton University. He is the coeditor of the Handbook of Financial Econometrics. Jean Jacod is professor at the Institut de Mathématiques de Jussieu in Paris. His books include Discretization of Processes.